Recommendation Setup & Feeds
The catalog behind a recommendation — feeds, interests, filters and fallbacks.
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Tuning the Engine — Score Blend & Presets
The account-wide weights behind every recommendation ordering — purchases vs views, freshness, click feedback, and the per-visitor price range that stays off unless you switch it on.
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Setting the Product / Content Feed for Recommendations
What the product or article catalog is, the five ways to load it (URL feed, file upload, SFTP, JSON API, site crawl), the fields the engine uses, and how to…
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Setting Filters On Recommendations
Narrow what a recommendation may show: skip items the visitor already has, restrict the catalog, group similar items, and write your own filter rules.
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Setting Recommendation Fallbacks
Add fallback algorithms for visitors the first choice has nothing for, and decide with Fill empty cells whether a short result is topped up.
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Interests for Recommendations
Tag items with interests and let visitors build interest profiles, so recommendations and targeting follow what each person cares about.